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Vulnerability Assessment by Learning Attack Specifications in Graphs

Franqueira, Virginia N. L., Lopes, Raul H. C. (2007) Vulnerability Assessment by Learning Attack Specifications in Graphs. In: Proceedings IAS 2007: Third International Symposium on Information Assurance and Security. . pp. 161-164. IEEE ISBN 978-0-7695-2876-2. (doi:10.1109/isias.2007.4299768) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
https://doi.org/10.1109/isias.2007.4299768

Abstract

This paper presents an evolutionary approach for learning attack specifications that describe attack scenarios. The objective is to find vulnerabilities in computer networks which minimise the cost of an attack with maximum impact. Although we focus on insider threat, the proposed approach applies to networks in general, including social networks and computer grid.

Item Type: Conference or workshop item (Proceeding)
DOI/Identification number: 10.1109/isias.2007.4299768
Uncontrolled keywords: Network Security, DoS, Intrusion Prevention
Divisions: Faculties > Sciences > School of Computing > Security Group
Depositing User: Virginia Nunes Leal Franqueira
Date Deposited: 10 Oct 2019 16:23 UTC
Last Modified: 11 Oct 2019 14:02 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/77203 (The current URI for this page, for reference purposes)
Franqueira, Virginia N. L.: https://orcid.org/0000-0003-1332-9115
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